For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
- Presently Face recognition solution is operating based on PC, and this delays its commercialization comparing other biometric solutions. Even though embedded face recognition sol...
This paper presents color processing for face recognition systems and proposes new directions for them. We show that color information helps performance of face recognition and fo...
In many real-world applications such as face recognition and mobile robotics, we need to use an adaptive version of feature extraction techniques. In this paper, we introduce an a...
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
Smart Cameras are becoming more popular in Intelligent Surveillance Systems area. Recognizing faces in a crowd in real-time is a key features which would significantly enhance Int...
Yasir Mohd-Mustafah, Ting Shan, Amelia W. Azman, A...
Biometric data have been integrated in all new European passports, since the member states of the European Commission started to implement the EU Council Regulation No 2252/2004 on...
: Biometric data have been integrated in all new European passports, since the member states of the European Commission started to implement the EU Council Regulation No 2252/2004 ...